{"product_id":"data-architecture-a-primer-for-the-data-scientist-big-data-data-warehouse-and-data-vault-9780128020449","title":"Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault","description":"\u003cp\u003e • Author(s): W. H. Inmon\u003cbr\u003e • Publisher: Morgan Kaufmann Publishers\u003cbr\u003e • Publisher Imprint: Morgan Kaufmann Publishers\u003cbr\u003e • BISAC: Data Science - Data Warehousing\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eToday, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or architecture it can't be used to its full potential. \u003ci\u003eData Architecture a Primer for the Data Scientist \u003c\/i\u003eaddresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist.\u003c\/p\u003e \u003cp\u003eDrawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems. You'll be able to: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eTurn textual information into a form that can be analyzed by standard tools.\u003c\/li\u003e \u003cli\u003eMake the connection between analytics and Big Data\u003c\/li\u003e \u003cli\u003eUnderstand how Big Data fits within an existing systems environment \u003c\/li\u003e \u003cli\u003eConduct analytics on repetitive and non-repetitive data\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Morgan Kaufmann Publishers","offers":[{"title":"Paperback","offer_id":45309922967703,"sku":"9780128020449","price":3375.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780128020449.webp?v=1769286550","url":"https:\/\/atlanticbooks.com\/products\/data-architecture-a-primer-for-the-data-scientist-big-data-data-warehouse-and-data-vault-9780128020449","provider":"Atlantic Books","version":"1.0","type":"link"}